* feat(agent): add Pi agent runtime support
Add Pi as a new agent runtime provider, following the established adapter
pattern. Pi CLI outputs JSONL events which are parsed for messages, tool
calls, and usage tracking.
Backend:
- New piBackend implementing the Backend interface (pi.go)
- Pi CLI discovery via MULTICA_PI_PATH env var or PATH lookup
- JSONL event stream parsing (agent_start, message_update, thinking_update,
tool_execution_start/end, agent_end)
- Usage scanner for ~/.pi/sessions/*.jsonl files
- Runtime config injection via AGENTS.md
- Skill injection to .pi/agent/skills/
Frontend:
- Pi provider logo (teal π icon)
- Pi label in transcript dialog
Docs:
- Updated all provider lists in README, CLI_INSTALL, and docs
* fix(agent): filter Pi usage scanner to agent_end events only
Address review feedback: restrict usage parsing to agent_end events
which contain cumulative totals, preventing potential inaccuracy if
Pi adds usage fields to other event types in the future.
* fix(agent): align Pi runtime with real CLI flags, event schema, and custom_args
- Flags: Pi's CLI uses `--mode json` (not `--output-format jsonl`), has no
`--yolo` (explicit `--tools` allowlist instead), takes the prompt as a
positional argument (not `-p <prompt>`), splits model as
`--provider <name> --model <id>`, and treats `--session` as a file path
that must exist before spawn.
- Event parsing: rewrite the stream event struct to match Pi's actual
JSON event schema (`message_update.assistantMessageEvent.delta`,
`turn_end.message.usage.{input,output,cacheRead,cacheWrite}`, etc.).
- Sessions: generate/persist session files under ~/.multica/pi-sessions/
and use the file path as the opaque SessionID returned to the daemon.
- Usage scanner: read assistant `message` events from the same session
files (Pi's session-file schema, distinct from the stdout stream).
- Custom args: consume `ExecOptions.CustomArgs` via `filterCustomArgs`
with a Pi-specific blocked set (`-p`, `--print`, `--mode`, `--session`)
so Pi matches the pattern shared by every other agent backend.
Gemini CLI support was added to the backend in v0.1.33 but was missing
from all user-facing documentation and the website. Added Gemini CLI
(and Hermes where missing) to the agents table, quickstart guides,
CLI reference, installation docs, self-hosting guide, and landing page
hero section with logo.
* fix: clarify that local skills work automatically, workspace skills are for team sharing
Users were confused, thinking they needed to re-upload locally installed skills
(e.g. .claude/skills/) to Multica before agents could use them. Updated UI text
across the skills page, agent skills tab, onboarding, and docs to clearly
distinguish between local skills (auto-discovered) and workspace skills (for
team-wide sharing).
Closes#972
* feat(views): replace inline text with info banner for local skills hint
The "local runtime skills are always available" message was buried in
the description text and easy to miss. Move it into a visible info
callout banner with an icon so users notice it immediately.
Decouple install.sh from environment configuration — install.sh now only
installs the CLI binary (and optionally Docker via --with-server), while
all environment configuration moves to `multica setup` subcommands.
Key changes:
- install.sh: remove config writes, rename --local to --with-server
- multica setup: add cloud/self-host subcommands with --server-url,
--app-url, --port, --frontend-port flags and --profile support
- Add config overwrite protection with interactive prompt
- Remove redundant commands: `config local`, `auth login` alias
- Replace silent multica.ai fallbacks with explicit errors
- Onboarding wizard: dynamically show correct setup command for
Cloud vs Self-host environments
- Update all docs, landing page, and install scripts for consistency
Self-host users had no documented way to reconfigure their CLI for
multica.ai. Add a section after "Stopping Services" in both
SELF_HOSTING.md and self-hosting.mdx explaining the two options:
manual `config set` or re-running the install script without --local.